The 7 habits of data effective companies
summary
Argues that data efficiency shows order-of-magnitude gaps — a 1000x span in outcomes and even a 10000x cost example from Lego versus Mojang — and ties that to concrete practices: centralized data factories with immutable raw stores, billions of datasets per day (Google, Goods 2016) versus hundreds in typical enterprises, dark pipelines and backfills for safe experiments, and pragmatic tooling guided by a golden path. Gives concrete wins: a feature built by three people in three weeks that reaches 40 million users and a master‑data task that drops from five FTEs to 0.1 FTE.
AI-written summary · about
chapters (38)
- 0:00Intro
- 0:38Digital maturity phases
- 2:21Observed differences
- 3:20Value creation streams
- 4:31Efficiency gap, data cost & value
- 6:19Data value cost - master data management example
- 7:54What conclusion from this graph?
- 8:45Forecast for analytics with fresh data
- 9:58Scandinavian companies reach for the stars
- 11:45Data not acted upon - value left on table
- 13:41Enabling innovation
- 15:21Data factory - from craft to industrial process
- 16:33From craft to process
- 17:59Sustainable production machine learning
- 18:24Lean factories - focus on latency & waste
- 19:49Eliminating delivery friction
- 20:17Use case driven, value stream aligned
- 21:25Value-driven teams
- 22:06Cross functional teams
- 23:55Push-driven vs pull-driven
- 25:24Centralise first
- 27:11Data-centric innovation
- 27:44Big data - a collaboration paradigm
- 28:09Architect for failure and sharing
- 29:29Data factories
- 30:29Online vs offline
- 31:02OO vs functional architecture
- 31:51Raw, immutable data + transformation process
- 32:58Life of an error, microservices
- 33:32Life of an error, batch pipelines
- 34:38Life of an error, streaming
- 35:22It's a software engineering problem
- 35:54Process engineering
- 36:38Quality assurance is a fundament for speed
- 37:43Unix philosophy - do one thing well
- 38:34One-way vs two-way decisions
- 39:50th habit - find your voice
- 41:09Tech has massive impact on society
related talks
26mData For The 99%: Unlocking Data Curiosity Across Your Organisation
29mData Management – The Superpower To Delivering Value From Data
34mPast The Hype: A Better Way To Think About Big Data
41mModern Data Stack: Optimising and Scaling Data in a Tech Company
48mBecoming a Data Head, a reflection on the trade offs and decision
56mData Unleashed: A Developer's Perspective on Navigating the Architecture Maze
21mPragmatic data organization leadership
36mData Mesh: Kicking Off a Mentality Change in an Organisation
